Ritsuko Yoshioka
- Immunology top 10%
- Oncology
- Molecular Biology
- Hematology top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- Kazunari YamaguchiKiyoshi TakatsukiS KondaS SugaiTakeshi YoshinagaSayaka ShimizuYuki HiroseShuichi Mihara
- Topics
- Lymphoma Diagnosis and Treatment (6 papers)T-cell and Retrovirus Studies (5 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ritsuko Yoshioka
20 papers receiving 504 citations
Peers
Comparison fields: 5 of 65
- Immunology 245
- Oncology 117
- Molecular Biology 101
- Hematology 90
- Agronomy and Crop Science 82
Countries citing papers authored by Ritsuko Yoshioka
This map shows the geographic impact of Ritsuko Yoshioka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ritsuko Yoshioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritsuko Yoshioka more than expected).
Fields of papers citing papers by Ritsuko Yoshioka
This network shows the impact of papers produced by Ritsuko Yoshioka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ritsuko Yoshioka. The network helps show where Ritsuko Yoshioka may publish in the future.
Co-authorship network of co-authors of Ritsuko Yoshioka
This figure shows the co-authorship network connecting the top 25 collaborators of Ritsuko Yoshioka. A scholar is included among the top collaborators of Ritsuko Yoshioka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ritsuko Yoshioka. Ritsuko Yoshioka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | [A case of the pancreatic mucinous cystadenoma in a man with ovarian-type stroma, expressing estrogen and progesteron receptors]. | 3 |
| 4 | 74 | |
| 5 | 44 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | [A case of Sjögren's syndrome with an eyelid tumor, a so-termed pseudolymphoma of the iacrimal gland]. | 5 |
| 9 | Establishment of a CD4-positive plasmacytoma cell line (AMO1). | 13 |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 91 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 70 | |
| 16 | 2 | |
| 17 | 37 | |
| 18 | [Smoldering adult T-cell leukemia--HTLV-I has also an etiologic role in the diseases other than ATL]. | 3 |
| 19 | 81 | |
| 20 | Blast crisis of chronic myelogenous leukemia with tumor formation characterized by T-cell features--a case report. | 10 |
About Ritsuko Yoshioka
Ritsuko Yoshioka is a scholar working on Immunology, Pathology and Forensic Medicine and Hematology, having authored 21 papers that have together received 523 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), T-cell and Retrovirus Studies (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (245 citations), Agronomy and Crop Science (82 citations) and Hematology (90 citations). Ritsuko Yoshioka has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazunari Yamaguchi, Kiyoshi Takatsuki, S Konda, S Sugai, Takeshi Yoshinaga, Sayaka Shimizu, Yuki Hirose, Shuichi Mihara, P. F. Chance and Wasaku Koyama. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Neurology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.